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Luke Lu

Visiting PhD Student

Contact Information

Email: xy.lu@utoronto.ca
Website: https://hobbitarmy.github.io/
ResearchGate: https://www.researchgate.net/profile/Xiangyu_Lu6

Profile

Xiangyu is a Visiting PhD Student from Zhejiang University. He now comes to Ensminger lab for one-year visiting, and will participate in FastPheno project. His study is focused on UAV image Processing amd Analyzing using Deep-Learning based methods. He carried out his undergraduate studies of Agricultural Mechanization at Northwest A&F University from 2016 to 2020. And he is estimated to complete his doctorate project on Agricultural Information Technology in 2025 from ZJU.Outside the Laboratory, He enjoys music, film, cooking and taking photos. Board Games and TRPG are also his favorites. When the weather is good, he would like to go touring and cycling too.

Education

PhD (Agricultural Information Technology) Zhejiang University, Hangzhou, China (2020-2025)

Exchange Student (Agricultural Mechanization) China Agricultural University, Beijing, China (2018-2019)

BSc (Agricultural Mechanization and Automation) Northwest A & F University, Yangling, China (2016-2020)

Publications

  • Zhang X; Lu X; Zhang Z, et al. Simultaneous Detection of Reference Lines in Paddy Fields Using a Machine Vision-Based Framework. Computers and Electronics in Agriculture. 2024; 221: 108923. https://doi:10.1016/j.compag.2024.108923
  • Lu X, Zhou J, Yang R, et al. Automated Rice Phenology Stage Mapping Using UAV Images and Deep Learning. Drones. 2023; 7(2):83. https://doi.org/10.3390/drones7020083
  • Zhou J, Lu X, Yang R, et al. Developing thermal infrared de-ghost and multi-level nested conglutinated segmentation algorithm for detection of rice seed setting rate. Computers and Electronics in Agriculture. 2023; 207:107725. https://doi.org/10.1016/j.compag.2023.107725
  • Lu X, Yang R, Zhou J, et al. A hybrid model of ghost-convolution enlightened transformer for effective diagnosis of grape leaf disease and pest. Journal of King Saud University – Computer and Information Sciences. 2022;34(5):1755-1767. https://doi.org/10.1016/j.jksuci.2022.03.006
  • Zhou J, Lu X, Yang R, et al. Developing Novel Rice Yield Index Using UAV Remote Sensing Imagery Fusion Technology. Drones. 2022; 6(6):151. https://doi.org/10.3390/drones6060151
  • Yang R, Lu X, Huang J, et al. A Multi-Source Data Fusion Decision-Making Method for Disease and Pest Detection of Grape Foliage Based on ShuffleNet V2. Remote Sensing. 2021; 13(24):5102. https://doi.org/10.3390/rs13245102